1829 papers
Neuroscience explores the intricate machinery of the brain and nervous system, seeking to understand how we think, feel, and move. From the microscopic dance of individual neurons to the complex networks that shape our memories and behaviors, this field peels back the layers of our biological selves to reveal the origins of consciousness and disease.
At Gist.Science, we bring these discoveries directly from bioRxiv, the leading preprint server for biological sciences, to a broader audience. We process every new neuroscience preprint as it is uploaded, transforming dense academic manuscripts into clear, plain-language explanations alongside detailed technical summaries. This ensures that both curious readers and specialists can stay current with the latest breakthroughs before they are formally published.
Below are the latest neuroscience papers we have processed from bioRxiv, offering fresh insights into the workings of the mind.
This study reveals that nuclear tau aggregates, which form via a VCP-dependent secondary seeding event from pre-existing cytoplasmic aggregates, inhibit mRNA export and disrupt nuclear RNA biogenesis, thereby contributing to tauopathy pathology.
This protocol update provides a revised overview of the normative modelling landscape, presents an updated standardized analytical protocol for neuroimaging data that incorporates federated and longitudinal approaches, offers practical guidance with open-source code via the refactored PCNtoolkit, and releases new community models for various imaging modalities to advance individual-level analysis in computational psychiatry.
Through simulations of a biologically-grounded spiking model, this study demonstrates that dopamine-dependent plasticity in cortico-basal ganglia-thalamic circuits reshapes decision dynamics by orchestrating phase-specific subnetwork interactions that shift strategies from deliberation to committed action, thereby optimizing both speed and accuracy.
This study demonstrates that the severe neurodevelopmental disorder-causing synaptotagmin-1 mutation p.N341S disrupts spontaneous neurotransmission and homeostatic plasticity by introducing a novel phosphorylation site that alters the protein's critical interaction interface with SNAP-25.
This study identifies diminished event-related beta-band (15-30 Hz) modulation as a distributed neural signature that mechanistically links disrupted multisensory integration, action monitoring, and language organization in schizophrenia, providing a unified framework for understanding these impairments through the lens of predictive dysfunction.
This study of adult survivors of pediatric Hodgkin lymphoma and acute lymphocytic leukemia reveals that specific neurometabolic alterations, particularly involving myo-inositol and GABA in key brain regions, interact with age to predict neurocognitive late effects, suggesting neuroinflammation as a potential underlying mechanism for accelerated brain aging in this population.
This study demonstrates that while MEG and BOLD-fMRI confirmed robust neuronal and hemodynamic activation during visual stimulation, spin-lock fMRI failed to reliably detect direct neuronal magnetic fields in vivo at 3T because the physiological field amplitudes lie below the method's current sensitivity thresholds.
This study demonstrates that psychedelic and sedated states of consciousness exhibit opposing, mirror-image patterns in large-scale brain network organization, with psychedelics characterized by increased integration and reduced segregation, while sedation and sleep show the inverse configuration.
CROCOpy is a lightweight, device-agnostic Python toolbox designed to simplify the analysis of continuous electrophysiological recordings by providing comprehensive methods for computing neuronal oscillations, functional connectivity metrics, and critical dynamics on both CPU and GPU platforms.
This study demonstrates that alternative splicing of exon 18a in the Cacna1b gene, which encodes the CaV2.2 calcium channel, bidirectionally modulates aversive associative learning in mice without affecting other cognitive or behavioral domains, thereby identifying this specific splicing event as a selective molecular contributor to this learning process.